G. Rizk, A. Thomas, I. Colin, R. Laraki, Y. Chevaleyre, Best Arm Identification in Graphical Bilinear Bandits, International Conference on Machine Learning (ICML 2021)
L. Meunier, M. Scetbon, R. Pinot, J. Atif, Y. Chevaleyre, Mixed Nash Equilibria in the Adversarial Examples Game, International Conference on Machine Learning (ICML 2021)
A. Verine, B. Negrevergne, F. Rossi, Y. Chevaleyre On the expressivity of bi-Lipschitz normalizing flows, ICML Workshop on Invertible Neural Nets and Normalizing Flows (INNF 2021)
L. Meunier, I. Legheraba, Y. Chevaleyre and O. Teytaud, Asymptotic convergence rates for averaging strategies, Foundations of Genetic Algorithms (FOGA 2021)
A. Araujo, B. Negrevergne, Y. Chevaleyre, J. Atif, On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory, 35th Conference on Artificial Intelligence (AAAI 2021)
R. Pinot, R. Ettedgui, G. Rizk, Y. Chevaleyre, J. Atif, Randomization matters How to defend against strong adversarial attacks, International Conference on Machine Learning (ICML 2020).
L. Meunier, Y. Chevaleyre, J. Rapin, C. Royer, O. Teytaud, On Averaging the Best Samples in Evolutionary Computation. (PPSN 2020). pp.661-674
A. Duburcq, Y. Chevaleyre, N. Bredeche, G. Boéris, Online trajectory planning through combined trajectory optimization and function approximation: Application to the exoskeleton Atalante. IEEE International Conference on Robotics and Automation (ICRA 2020), 3756-3762. Nominated for the Best Paper Award in Service Robotics.
Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre and Jamal Atif. Understanding and Training Deep Diagonal Circulant Neural Networks 24th European Conference on Artificial Intelligence (ECAI 2020)
K. Belahcene, N. Sokolovska, Y. Chevaleyre, J.-D. Zucker. Learning Interpretable Models using Soft Integrity Constraints, ACML 2020.
M. Clertant, N. Sokolovska, Y. Chevaleyre, B. Hanczar, Interpretable Cascade Classifiers with Abstention (AISTATS 2019)